Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
About the role
- Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state-of-the-art deep learning models.
Responsibilities
- Develop and train neural networks for complex perception tasks in real-world driving environments.
- Design and analyze deep learning pipelines, from data to deployment.
- Collaborate with algorithm, software, and data experts to deliver production-ready models.
- Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.
Requirements
- M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar)
- B.Sc. from a leading university
- Solid background in Machine Learning and Deep Learning
- Strong Python development skills
- Highly motivated, hard-working, proactive, and driven to solve challenging problems
- Ability to operate in a fast-paced research & development environment
- PhD or relevant academic publications
- Experience with Linux, Git, Docker, C++
- Knowledge in 3D perception, computer vision, or robotics
- Industry experience working on CV and Deep Learning
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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